Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
3474259ca4* refactor(calculator): update tool implementation Replace legacy tool mode implementation using CalculatorToolSchema with simplified tool_mode=True approach. * refactor(calculator): fix deprecation warnings Fix ast.Num deprecation warnings by supporting ast.Constant while maintaining backwards compatibility. * Update isinstance check to use Python 3.10+ union operator (|) instead of tuple syntax * Update calculator.py Component name required; if not it would get None in Toolset * [autofix.ci] apply automated fixes * test(calculator): add unit tests for CalculatorToolComponent * revert(tools): restore Calculator component to its original implementation Due to potential breaking changes in the repository, reverting the Calculator component to its initial PR state to maintain compatibility and stability. * feat(tools): mark Calculator component as legacy and update display name - Set legacy flag to true for Calculator component - Update display name to "Calculator (Deprecated)" to clearly indicate deprecation status - Maintain backward compatibility by preserving class name and internal name * feat(tools)!: add new calculator core component BREAKING CHANGE: Introduces calculator_core.py as a replacement for the deprecated calculator.py * refactor(tools): rename calculator classes for better distinction * refactor(tools): update __init__.py to reflect new class names * [autofix.ci] apply automated fixes * test(tools): update calculator tests for core component --------- Co-authored-by: Edwin Jose <edwin.jose@datastax.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> |
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Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Docs - Free Cloud Service - Self Managed
✨ Core features
- Python-based and agnostic to models, APIs, data sources, or databases.
- Visual IDE for drag-and-drop building and testing of workflows.
- Playground to immediately test and iterate workflows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Free cloud service to get started in minutes with no setup.
- Publish as an API or export as a Python application.
- Observability with LangSmith, LangFuse, or LangWatch integration.
- Enterprise-grade security and scalability with free DataStax Langflow cloud service.
- Customize workflows or create flows entirely just using Python.
- Ecosystem integrations as reusable components for any model, API or database.
📦 Quickstart
- Install with uv (recommended) (Python 3.10 to 3.12):
uv pip install langflow
- Install with pip (Python 3.10 to 3.12):
pip install langflow
- Cloud: DataStax Langflow is a hosted environment with zero setup. Sign up for a free account.
- Self-managed: Run Langflow in your environment. Install Langflow to run a local Langflow server, and then use the Quickstart guide to create and execute a flow.
- Hugging Face: Clone the space using this link to create a Langflow workspace.
⭐ Stay up-to-date
Star Langflow on GitHub to be instantly notified of new releases.
👋 Contribute
We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.